Overview

Brought to you by YData

Dataset statistics

Number of variables35
Number of observations20000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.9 MiB
Average record size in memory574.1 B

Variable types

DateTime1
Numeric26
Categorical8

Alerts

Age is highly overall correlated with ExperienceHigh correlation
AnnualIncome is highly overall correlated with LoanApproved and 2 other fieldsHigh correlation
BaseInterestRate is highly overall correlated with CreditScore and 2 other fieldsHigh correlation
CreditScore is highly overall correlated with BaseInterestRate and 1 other fieldsHigh correlation
Experience is highly overall correlated with AgeHigh correlation
InterestRate is highly overall correlated with BaseInterestRate and 1 other fieldsHigh correlation
LoanAmount is highly overall correlated with MonthlyLoanPaymentHigh correlation
LoanApproved is highly overall correlated with AnnualIncome and 1 other fieldsHigh correlation
LoanDuration is highly overall correlated with BaseInterestRateHigh correlation
MonthlyIncome is highly overall correlated with AnnualIncome and 2 other fieldsHigh correlation
MonthlyLoanPayment is highly overall correlated with LoanAmount and 1 other fieldsHigh correlation
NetWorth is highly overall correlated with TotalAssetsHigh correlation
TotalAssets is highly overall correlated with NetWorthHigh correlation
TotalDebtToIncomeRatio is highly overall correlated with AnnualIncome and 2 other fieldsHigh correlation
EmploymentStatus is highly imbalanced (52.5%)Imbalance
BankruptcyHistory is highly imbalanced (70.3%)Imbalance
PreviousLoanDefaults is highly imbalanced (53.1%)Imbalance
ApplicationDate has unique valuesUnique
CreditCardUtilizationRate has unique valuesUnique
DebtToIncomeRatio has unique valuesUnique
UtilityBillsPaymentHistory has unique valuesUnique
MonthlyLoanPayment has unique valuesUnique
TotalDebtToIncomeRatio has unique valuesUnique
Experience has 1706 (8.5%) zerosZeros
NumberOfDependents has 6074 (30.4%) zerosZeros
NumberOfOpenCreditLines has 932 (4.7%) zerosZeros
NumberOfCreditInquiries has 7299 (36.5%) zerosZeros

Reproduction

Analysis started2024-09-19 11:56:55.309608
Analysis finished2024-09-19 11:58:33.299328
Duration1 minute and 37.99 seconds
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

ApplicationDate
Date

UNIQUE 

Distinct20000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
Minimum2018-01-01 00:00:00
Maximum2072-10-03 00:00:00
2024-09-19T17:28:33.435685image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:33.625100image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Age
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.7526
Minimum18
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:33.804132image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile20
Q132
median40
Q348
95-th percentile59
Maximum80
Range62
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.622713
Coefficient of variation (CV)0.29237616
Kurtosis-0.31058451
Mean39.7526
Median Absolute Deviation (MAD)8
Skewness0.18596393
Sum795052
Variance135.08745
MonotonicityNot monotonic
2024-09-19T17:28:33.963362image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 803
 
4.0%
40 715
 
3.6%
39 682
 
3.4%
42 676
 
3.4%
37 669
 
3.3%
43 647
 
3.2%
41 644
 
3.2%
36 632
 
3.2%
35 614
 
3.1%
38 613
 
3.1%
Other values (53) 13305
66.5%
ValueCountFrequency (%)
18 803
4.0%
19 142
 
0.7%
20 140
 
0.7%
21 227
 
1.1%
22 228
 
1.1%
23 267
 
1.3%
24 267
 
1.3%
25 308
 
1.5%
26 348
1.7%
27 353
1.8%
ValueCountFrequency (%)
80 8
 
< 0.1%
79 3
 
< 0.1%
78 3
 
< 0.1%
77 10
0.1%
76 4
 
< 0.1%
75 14
0.1%
74 8
 
< 0.1%
73 14
0.1%
72 20
0.1%
71 21
0.1%

AnnualIncome
Real number (ℝ)

HIGH CORRELATION 

Distinct17516
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59161.474
Minimum15000
Maximum485341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:34.143368image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum15000
5-th percentile17407.8
Q131679
median48566
Q374391
95-th percentile135879.35
Maximum485341
Range470341
Interquartile range (IQR)42712

Descriptive statistics

Standard deviation40350.845
Coefficient of variation (CV)0.68204598
Kurtosis6.8515052
Mean59161.474
Median Absolute Deviation (MAD)19665
Skewness2.088948
Sum1.1832295 × 109
Variance1.6281907 × 109
MonotonicityNot monotonic
2024-09-19T17:28:34.320175image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15000 584
 
2.9%
300000 26
 
0.1%
68064 4
 
< 0.1%
24627 4
 
< 0.1%
36604 4
 
< 0.1%
26437 4
 
< 0.1%
26721 4
 
< 0.1%
34958 4
 
< 0.1%
31117 3
 
< 0.1%
43720 3
 
< 0.1%
Other values (17506) 19360
96.8%
ValueCountFrequency (%)
15000 584
2.9%
15004 1
 
< 0.1%
15005 1
 
< 0.1%
15031 1
 
< 0.1%
15043 1
 
< 0.1%
15049 1
 
< 0.1%
15052 1
 
< 0.1%
15054 1
 
< 0.1%
15059 1
 
< 0.1%
15074 1
 
< 0.1%
ValueCountFrequency (%)
485341 1
 
< 0.1%
422480 1
 
< 0.1%
373724 1
 
< 0.1%
335901 1
 
< 0.1%
333715 1
 
< 0.1%
317379 1
 
< 0.1%
304122 1
 
< 0.1%
300000 26
0.1%
296766 1
 
< 0.1%
295818 1
 
< 0.1%

CreditScore
Real number (ℝ)

HIGH CORRELATION 

Distinct322
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean571.6124
Minimum343
Maximum712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:34.494199image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum343
5-th percentile477
Q1540
median578
Q3609
95-th percentile644
Maximum712
Range369
Interquartile range (IQR)69

Descriptive statistics

Standard deviation50.997358
Coefficient of variation (CV)0.089216675
Kurtosis0.23169054
Mean571.6124
Median Absolute Deviation (MAD)33
Skewness-0.59672714
Sum11432248
Variance2600.7305
MonotonicityNot monotonic
2024-09-19T17:28:34.665174image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609 204
 
1.0%
593 182
 
0.9%
585 181
 
0.9%
604 180
 
0.9%
602 180
 
0.9%
587 175
 
0.9%
582 174
 
0.9%
594 174
 
0.9%
589 174
 
0.9%
580 172
 
0.9%
Other values (312) 18204
91.0%
ValueCountFrequency (%)
343 1
 
< 0.1%
362 1
 
< 0.1%
372 1
 
< 0.1%
380 1
 
< 0.1%
381 1
 
< 0.1%
382 3
< 0.1%
383 1
 
< 0.1%
384 2
< 0.1%
385 1
 
< 0.1%
387 1
 
< 0.1%
ValueCountFrequency (%)
712 1
 
< 0.1%
707 1
 
< 0.1%
703 2
< 0.1%
702 2
< 0.1%
699 1
 
< 0.1%
697 2
< 0.1%
696 3
< 0.1%
695 1
 
< 0.1%
694 2
< 0.1%
693 1
 
< 0.1%

EmploymentStatus
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
Employed
17036 
Self-Employed
 
1573
Unemployed
 
1391

Length

Max length13
Median length8
Mean length8.53235
Min length8

Characters and Unicode

Total characters170647
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEmployed
2nd rowEmployed
3rd rowEmployed
4th rowEmployed
5th rowEmployed

Common Values

ValueCountFrequency (%)
Employed 17036
85.2%
Self-Employed 1573
 
7.9%
Unemployed 1391
 
7.0%

Length

2024-09-19T17:28:34.826956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-19T17:28:34.953562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
employed 17036
85.2%
self-employed 1573
 
7.9%
unemployed 1391
 
7.0%

Most occurring characters

ValueCountFrequency (%)
e 22964
13.5%
l 21573
12.6%
m 20000
11.7%
p 20000
11.7%
o 20000
11.7%
y 20000
11.7%
d 20000
11.7%
E 18609
10.9%
S 1573
 
0.9%
f 1573
 
0.9%
Other values (3) 4355
 
2.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 170647
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 22964
13.5%
l 21573
12.6%
m 20000
11.7%
p 20000
11.7%
o 20000
11.7%
y 20000
11.7%
d 20000
11.7%
E 18609
10.9%
S 1573
 
0.9%
f 1573
 
0.9%
Other values (3) 4355
 
2.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 170647
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 22964
13.5%
l 21573
12.6%
m 20000
11.7%
p 20000
11.7%
o 20000
11.7%
y 20000
11.7%
d 20000
11.7%
E 18609
10.9%
S 1573
 
0.9%
f 1573
 
0.9%
Other values (3) 4355
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 170647
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 22964
13.5%
l 21573
12.6%
m 20000
11.7%
p 20000
11.7%
o 20000
11.7%
y 20000
11.7%
d 20000
11.7%
E 18609
10.9%
S 1573
 
0.9%
f 1573
 
0.9%
Other values (3) 4355
 
2.6%

EducationLevel
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
Bachelor
6054 
High School
5908 
Associate
4034 
Master
3050 
Doctorate
954 

Length

Max length11
Median length9
Mean length8.8306
Min length6

Characters and Unicode

Total characters176612
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMaster
2nd rowAssociate
3rd rowBachelor
4th rowHigh School
5th rowAssociate

Common Values

ValueCountFrequency (%)
Bachelor 6054
30.3%
High School 5908
29.5%
Associate 4034
20.2%
Master 3050
15.2%
Doctorate 954
 
4.8%

Length

2024-09-19T17:28:35.095776image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-19T17:28:35.229890image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
bachelor 6054
23.4%
high 5908
22.8%
school 5908
22.8%
associate 4034
15.6%
master 3050
11.8%
doctorate 954
 
3.7%

Most occurring characters

ValueCountFrequency (%)
o 23812
13.5%
h 17870
10.1%
c 16950
9.6%
e 14092
 
8.0%
a 14092
 
8.0%
l 11962
 
6.8%
s 11118
 
6.3%
r 10058
 
5.7%
i 9942
 
5.6%
t 8992
 
5.1%
Other values (8) 37724
21.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 176612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 23812
13.5%
h 17870
10.1%
c 16950
9.6%
e 14092
 
8.0%
a 14092
 
8.0%
l 11962
 
6.8%
s 11118
 
6.3%
r 10058
 
5.7%
i 9942
 
5.6%
t 8992
 
5.1%
Other values (8) 37724
21.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 176612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 23812
13.5%
h 17870
10.1%
c 16950
9.6%
e 14092
 
8.0%
a 14092
 
8.0%
l 11962
 
6.8%
s 11118
 
6.3%
r 10058
 
5.7%
i 9942
 
5.6%
t 8992
 
5.1%
Other values (8) 37724
21.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 176612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 23812
13.5%
h 17870
10.1%
c 16950
9.6%
e 14092
 
8.0%
a 14092
 
8.0%
l 11962
 
6.8%
s 11118
 
6.3%
r 10058
 
5.7%
i 9942
 
5.6%
t 8992
 
5.1%
Other values (8) 37724
21.4%

Experience
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct62
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.52275
Minimum0
Maximum61
Zeros1706
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:35.391363image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median17
Q325
95-th percentile37
Maximum61
Range61
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.316836
Coefficient of variation (CV)0.64583678
Kurtosis-0.37090463
Mean17.52275
Median Absolute Deviation (MAD)8
Skewness0.33998065
Sum350455
Variance128.07079
MonotonicityNot monotonic
2024-09-19T17:28:35.575492image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1706
 
8.5%
18 722
 
3.6%
15 666
 
3.3%
16 654
 
3.3%
13 641
 
3.2%
17 635
 
3.2%
14 627
 
3.1%
21 619
 
3.1%
19 611
 
3.1%
22 610
 
3.0%
Other values (52) 12509
62.5%
ValueCountFrequency (%)
0 1706
8.5%
1 275
 
1.4%
2 306
 
1.5%
3 313
 
1.6%
4 392
 
2.0%
5 423
 
2.1%
6 440
 
2.2%
7 443
 
2.2%
8 476
 
2.4%
9 547
 
2.7%
ValueCountFrequency (%)
61 1
 
< 0.1%
60 1
 
< 0.1%
59 1
 
< 0.1%
58 4
< 0.1%
57 6
< 0.1%
56 5
< 0.1%
55 8
< 0.1%
54 5
< 0.1%
53 8
< 0.1%
52 8
< 0.1%

LoanAmount
Real number (ℝ)

HIGH CORRELATION 

Distinct15578
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24882.868
Minimum3674
Maximum184732
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:35.736942image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3674
5-th percentile9640.95
Q115575
median21914.5
Q330835
95-th percentile50368.3
Maximum184732
Range181058
Interquartile range (IQR)15260

Descriptive statistics

Standard deviation13427.421
Coefficient of variation (CV)0.53962515
Kurtosis6.768544
Mean24882.868
Median Absolute Deviation (MAD)7250
Skewness1.8336878
Sum4.9765736 × 108
Variance1.8029564 × 108
MonotonicityNot monotonic
2024-09-19T17:28:35.923831image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21849 6
 
< 0.1%
14075 6
 
< 0.1%
20937 5
 
< 0.1%
21621 5
 
< 0.1%
19627 5
 
< 0.1%
18597 5
 
< 0.1%
19891 5
 
< 0.1%
18400 5
 
< 0.1%
28201 5
 
< 0.1%
20655 5
 
< 0.1%
Other values (15568) 19948
99.7%
ValueCountFrequency (%)
3674 1
< 0.1%
3729 1
< 0.1%
3771 1
< 0.1%
3961 1
< 0.1%
4044 1
< 0.1%
4070 1
< 0.1%
4173 1
< 0.1%
4188 1
< 0.1%
4319 1
< 0.1%
4326 1
< 0.1%
ValueCountFrequency (%)
184732 1
< 0.1%
158686 1
< 0.1%
148776 1
< 0.1%
136565 1
< 0.1%
129860 1
< 0.1%
127945 1
< 0.1%
127011 1
< 0.1%
125733 1
< 0.1%
121782 1
< 0.1%
121126 1
< 0.1%

LoanDuration
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.057
Minimum12
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:36.074904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile24
Q136
median48
Q372
95-th percentile108
Maximum120
Range108
Interquartile range (IQR)36

Descriptive statistics

Standard deviation24.664857
Coefficient of variation (CV)0.45627499
Kurtosis0.16728512
Mean54.057
Median Absolute Deviation (MAD)12
Skewness0.65132984
Sum1081140
Variance608.35517
MonotonicityNot monotonic
2024-09-19T17:28:36.186961image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
48 3991
20.0%
60 3982
19.9%
36 3971
19.9%
72 2046
10.2%
24 1972
9.9%
84 1059
 
5.3%
96 1001
 
5.0%
12 959
 
4.8%
120 537
 
2.7%
108 482
 
2.4%
ValueCountFrequency (%)
12 959
 
4.8%
24 1972
9.9%
36 3971
19.9%
48 3991
20.0%
60 3982
19.9%
72 2046
10.2%
84 1059
 
5.3%
96 1001
 
5.0%
108 482
 
2.4%
120 537
 
2.7%
ValueCountFrequency (%)
120 537
 
2.7%
108 482
 
2.4%
96 1001
 
5.0%
84 1059
 
5.3%
72 2046
10.2%
60 3982
19.9%
48 3991
20.0%
36 3971
19.9%
24 1972
9.9%
12 959
 
4.8%

MaritalStatus
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
Married
10041 
Single
6078 
Divorced
2882 
Widowed
 
999

Length

Max length8
Median length7
Mean length6.8402
Min length6

Characters and Unicode

Total characters136804
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMarried
2nd rowSingle
3rd rowMarried
4th rowSingle
5th rowMarried

Common Values

ValueCountFrequency (%)
Married 10041
50.2%
Single 6078
30.4%
Divorced 2882
 
14.4%
Widowed 999
 
5.0%

Length

2024-09-19T17:28:36.340791image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-19T17:28:36.481517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
married 10041
50.2%
single 6078
30.4%
divorced 2882
 
14.4%
widowed 999
 
5.0%

Most occurring characters

ValueCountFrequency (%)
r 22964
16.8%
i 20000
14.6%
e 20000
14.6%
d 14921
10.9%
M 10041
7.3%
a 10041
7.3%
S 6078
 
4.4%
n 6078
 
4.4%
g 6078
 
4.4%
l 6078
 
4.4%
Other values (6) 14525
10.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 136804
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
r 22964
16.8%
i 20000
14.6%
e 20000
14.6%
d 14921
10.9%
M 10041
7.3%
a 10041
7.3%
S 6078
 
4.4%
n 6078
 
4.4%
g 6078
 
4.4%
l 6078
 
4.4%
Other values (6) 14525
10.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 136804
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
r 22964
16.8%
i 20000
14.6%
e 20000
14.6%
d 14921
10.9%
M 10041
7.3%
a 10041
7.3%
S 6078
 
4.4%
n 6078
 
4.4%
g 6078
 
4.4%
l 6078
 
4.4%
Other values (6) 14525
10.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 136804
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
r 22964
16.8%
i 20000
14.6%
e 20000
14.6%
d 14921
10.9%
M 10041
7.3%
a 10041
7.3%
S 6078
 
4.4%
n 6078
 
4.4%
g 6078
 
4.4%
l 6078
 
4.4%
Other values (6) 14525
10.6%

NumberOfDependents
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5173
Minimum0
Maximum5
Zeros6074
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:36.615275image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3863249
Coefficient of variation (CV)0.91367886
Kurtosis-0.48616534
Mean1.5173
Median Absolute Deviation (MAD)1
Skewness0.63991934
Sum30346
Variance1.9218968
MonotonicityNot monotonic
2024-09-19T17:28:36.738493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 6074
30.4%
1 5027
25.1%
2 3916
19.6%
3 3033
15.2%
4 1362
 
6.8%
5 588
 
2.9%
ValueCountFrequency (%)
0 6074
30.4%
1 5027
25.1%
2 3916
19.6%
3 3033
15.2%
4 1362
 
6.8%
5 588
 
2.9%
ValueCountFrequency (%)
5 588
 
2.9%
4 1362
 
6.8%
3 3033
15.2%
2 3916
19.6%
1 5027
25.1%
0 6074
30.4%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.0 MiB
Mortgage
7939 
Rent
6087 
Own
3938 
Other
2036 

Length

Max length8
Median length5
Mean length5.4927
Min length3

Characters and Unicode

Total characters109854
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOwn
2nd rowMortgage
3rd rowRent
4th rowMortgage
5th rowMortgage

Common Values

ValueCountFrequency (%)
Mortgage 7939
39.7%
Rent 6087
30.4%
Own 3938
19.7%
Other 2036
 
10.2%

Length

2024-09-19T17:28:36.876167image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-19T17:28:37.006206image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
mortgage 7939
39.7%
rent 6087
30.4%
own 3938
19.7%
other 2036
 
10.2%

Most occurring characters

ValueCountFrequency (%)
t 16062
14.6%
e 16062
14.6%
g 15878
14.5%
n 10025
9.1%
r 9975
9.1%
M 7939
7.2%
o 7939
7.2%
a 7939
7.2%
R 6087
 
5.5%
O 5974
 
5.4%
Other values (2) 5974
 
5.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 109854
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
t 16062
14.6%
e 16062
14.6%
g 15878
14.5%
n 10025
9.1%
r 9975
9.1%
M 7939
7.2%
o 7939
7.2%
a 7939
7.2%
R 6087
 
5.5%
O 5974
 
5.4%
Other values (2) 5974
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 109854
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
t 16062
14.6%
e 16062
14.6%
g 15878
14.5%
n 10025
9.1%
r 9975
9.1%
M 7939
7.2%
o 7939
7.2%
a 7939
7.2%
R 6087
 
5.5%
O 5974
 
5.4%
Other values (2) 5974
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 109854
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
t 16062
14.6%
e 16062
14.6%
g 15878
14.5%
n 10025
9.1%
r 9975
9.1%
M 7939
7.2%
o 7939
7.2%
a 7939
7.2%
R 6087
 
5.5%
O 5974
 
5.4%
Other values (2) 5974
 
5.4%

MonthlyDebtPayments
Real number (ℝ)

Distinct1299
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean454.2927
Minimum50
Maximum2919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:37.162167image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile176
Q1286
median402
Q3564
95-th percentile909
Maximum2919
Range2869
Interquartile range (IQR)278

Descriptive statistics

Standard deviation240.50761
Coefficient of variation (CV)0.52941112
Kurtosis4.9195961
Mean454.2927
Median Absolute Deviation (MAD)132
Skewness1.6534347
Sum9085854
Variance57843.91
MonotonicityNot monotonic
2024-09-19T17:28:37.337207image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
352 62
 
0.3%
305 61
 
0.3%
298 58
 
0.3%
279 58
 
0.3%
262 57
 
0.3%
264 55
 
0.3%
362 55
 
0.3%
312 55
 
0.3%
294 55
 
0.3%
322 54
 
0.3%
Other values (1289) 19430
97.2%
ValueCountFrequency (%)
50 1
 
< 0.1%
60 1
 
< 0.1%
64 1
 
< 0.1%
65 1
 
< 0.1%
73 1
 
< 0.1%
74 1
 
< 0.1%
76 1
 
< 0.1%
78 4
< 0.1%
80 2
< 0.1%
81 1
 
< 0.1%
ValueCountFrequency (%)
2919 1
< 0.1%
2501 1
< 0.1%
2390 1
< 0.1%
2375 1
< 0.1%
2240 1
< 0.1%
2192 1
< 0.1%
2093 1
< 0.1%
2085 1
< 0.1%
2028 1
< 0.1%
2005 1
< 0.1%

CreditCardUtilizationRate
Real number (ℝ)

UNIQUE 

Distinct20000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28638103
Minimum0.00097449075
Maximum0.91738008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:37.510946image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.00097449075
5-th percentile0.06440569
Q10.16079355
median0.2666726
Q30.39063387
95-th percentile0.58277229
Maximum0.91738008
Range0.91640559
Interquartile range (IQR)0.22984032

Descriptive statistics

Standard deviation0.15979289
Coefficient of variation (CV)0.55797304
Kurtosis-0.086264968
Mean0.28638103
Median Absolute Deviation (MAD)0.1134833
Skewness0.601131
Sum5727.6206
Variance0.025533769
MonotonicityNot monotonic
2024-09-19T17:28:37.671815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3544179188 1
 
< 0.1%
0.0942023378 1
 
< 0.1%
0.5376943862 1
 
< 0.1%
0.09079484564 1
 
< 0.1%
0.5959970771 1
 
< 0.1%
0.2115365029 1
 
< 0.1%
0.6535400156 1
 
< 0.1%
0.5791351558 1
 
< 0.1%
0.2342391112 1
 
< 0.1%
0.3340747098 1
 
< 0.1%
Other values (19990) 19990
> 99.9%
ValueCountFrequency (%)
0.0009744907528 1
< 0.1%
0.002672350398 1
< 0.1%
0.002771042899 1
< 0.1%
0.002796537593 1
< 0.1%
0.004363674508 1
< 0.1%
0.004603261347 1
< 0.1%
0.004937329494 1
< 0.1%
0.0051921794 1
< 0.1%
0.005922389328 1
< 0.1%
0.006587721375 1
< 0.1%
ValueCountFrequency (%)
0.9173800816 1
< 0.1%
0.8785644504 1
< 0.1%
0.8724033515 1
< 0.1%
0.8715007181 1
< 0.1%
0.8700171392 1
< 0.1%
0.8651020153 1
< 0.1%
0.8622049191 1
< 0.1%
0.858538755 1
< 0.1%
0.8534521434 1
< 0.1%
0.8533589544 1
< 0.1%

NumberOfOpenCreditLines
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.02335
Minimum0
Maximum13
Zeros932
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:37.801155image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7361611
Coefficient of variation (CV)0.57425079
Kurtosis0.37132397
Mean3.02335
Median Absolute Deviation (MAD)1
Skewness0.59966178
Sum60467
Variance3.0142555
MonotonicityNot monotonic
2024-09-19T17:28:37.932249image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 4571
22.9%
2 4483
22.4%
4 3354
16.8%
1 2945
14.7%
5 1930
9.7%
6 1079
 
5.4%
0 932
 
4.7%
7 457
 
2.3%
8 168
 
0.8%
9 59
 
0.3%
Other values (4) 22
 
0.1%
ValueCountFrequency (%)
0 932
 
4.7%
1 2945
14.7%
2 4483
22.4%
3 4571
22.9%
4 3354
16.8%
5 1930
9.7%
6 1079
 
5.4%
7 457
 
2.3%
8 168
 
0.8%
9 59
 
0.3%
ValueCountFrequency (%)
13 1
 
< 0.1%
12 1
 
< 0.1%
11 4
 
< 0.1%
10 16
 
0.1%
9 59
 
0.3%
8 168
 
0.8%
7 457
 
2.3%
6 1079
 
5.4%
5 1930
9.7%
4 3354
16.8%

NumberOfCreditInquiries
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.993
Minimum0
Maximum7
Zeros7299
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:38.064744image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9869649
Coefficient of variation (CV)0.99392235
Kurtosis1.1556858
Mean0.993
Median Absolute Deviation (MAD)1
Skewness1.0120648
Sum19860
Variance0.9740997
MonotonicityNot monotonic
2024-09-19T17:28:38.191755image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 7506
37.5%
0 7299
36.5%
2 3666
18.3%
3 1185
 
5.9%
4 272
 
1.4%
5 56
 
0.3%
6 13
 
0.1%
7 3
 
< 0.1%
ValueCountFrequency (%)
0 7299
36.5%
1 7506
37.5%
2 3666
18.3%
3 1185
 
5.9%
4 272
 
1.4%
5 56
 
0.3%
6 13
 
0.1%
7 3
 
< 0.1%
ValueCountFrequency (%)
7 3
 
< 0.1%
6 13
 
0.1%
5 56
 
0.3%
4 272
 
1.4%
3 1185
 
5.9%
2 3666
18.3%
1 7506
37.5%
0 7299
36.5%

DebtToIncomeRatio
Real number (ℝ)

UNIQUE 

Distinct20000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28573465
Minimum0.001720029
Maximum0.90225269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:38.346834image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.001720029
5-th percentile0.061923394
Q10.16103468
median0.26445402
Q30.39032693
95-th percentile0.5816933
Maximum0.90225269
Range0.90053266
Interquartile range (IQR)0.22929225

Descriptive statistics

Standard deviation0.16021077
Coefficient of variation (CV)0.56069774
Kurtosis-0.1260255
Mean0.28573465
Median Absolute Deviation (MAD)0.11286968
Skewness0.59385847
Sum5714.693
Variance0.025667491
MonotonicityNot monotonic
2024-09-19T17:28:38.506553image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3583355997 1
 
< 0.1%
0.2253978161 1
 
< 0.1%
0.2953738978 1
 
< 0.1%
0.1609049905 1
 
< 0.1%
0.3138623202 1
 
< 0.1%
0.2211455603 1
 
< 0.1%
0.3907372155 1
 
< 0.1%
0.3567864212 1
 
< 0.1%
0.1174018152 1
 
< 0.1%
0.5041143059 1
 
< 0.1%
Other values (19990) 19990
> 99.9%
ValueCountFrequency (%)
0.001720029008 1
< 0.1%
0.002016133438 1
< 0.1%
0.002288094478 1
< 0.1%
0.002883214685 1
< 0.1%
0.003568471843 1
< 0.1%
0.003677660736 1
< 0.1%
0.0040777842 1
< 0.1%
0.004558310876 1
< 0.1%
0.00511858093 1
< 0.1%
0.005768054115 1
< 0.1%
ValueCountFrequency (%)
0.9022526895 1
< 0.1%
0.8809466756 1
< 0.1%
0.8802357029 1
< 0.1%
0.8668074296 1
< 0.1%
0.8582646802 1
< 0.1%
0.8529877817 1
< 0.1%
0.8456869555 1
< 0.1%
0.8429225136 1
< 0.1%
0.8365443736 1
< 0.1%
0.8362913514 1
< 0.1%

BankruptcyHistory
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size976.7 KiB
0
18952 
1
 
1048

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18952
94.8%
1 1048
 
5.2%

Length

2024-09-19T17:28:38.645133image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-19T17:28:38.759090image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0 18952
94.8%
1 1048
 
5.2%

Most occurring characters

ValueCountFrequency (%)
0 18952
94.8%
1 1048
 
5.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 20000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 18952
94.8%
1 1048
 
5.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 20000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 18952
94.8%
1 1048
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 20000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 18952
94.8%
1 1048
 
5.2%

LoanPurpose
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
Home
5925 
Debt Consolidation
5027 
Auto
4034 
Education
3008 
Other
2006 

Length

Max length18
Median length9
Mean length8.3712
Min length4

Characters and Unicode

Total characters167424
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHome
2nd rowDebt Consolidation
3rd rowEducation
4th rowHome
5th rowDebt Consolidation

Common Values

ValueCountFrequency (%)
Home 5925
29.6%
Debt Consolidation 5027
25.1%
Auto 4034
20.2%
Education 3008
15.0%
Other 2006
 
10.0%

Length

2024-09-19T17:28:38.909657image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-19T17:28:39.054118image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
home 5925
23.7%
debt 5027
20.1%
consolidation 5027
20.1%
auto 4034
16.1%
education 3008
12.0%
other 2006
 
8.0%

Most occurring characters

ValueCountFrequency (%)
o 28048
16.8%
t 19102
11.4%
i 13062
 
7.8%
n 13062
 
7.8%
e 12958
 
7.7%
a 8035
 
4.8%
d 8035
 
4.8%
u 7042
 
4.2%
H 5925
 
3.5%
m 5925
 
3.5%
Other values (12) 46230
27.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 167424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 28048
16.8%
t 19102
11.4%
i 13062
 
7.8%
n 13062
 
7.8%
e 12958
 
7.7%
a 8035
 
4.8%
d 8035
 
4.8%
u 7042
 
4.2%
H 5925
 
3.5%
m 5925
 
3.5%
Other values (12) 46230
27.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 167424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 28048
16.8%
t 19102
11.4%
i 13062
 
7.8%
n 13062
 
7.8%
e 12958
 
7.7%
a 8035
 
4.8%
d 8035
 
4.8%
u 7042
 
4.2%
H 5925
 
3.5%
m 5925
 
3.5%
Other values (12) 46230
27.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 167424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 28048
16.8%
t 19102
11.4%
i 13062
 
7.8%
n 13062
 
7.8%
e 12958
 
7.7%
a 8035
 
4.8%
d 8035
 
4.8%
u 7042
 
4.2%
H 5925
 
3.5%
m 5925
 
3.5%
Other values (12) 46230
27.6%

PreviousLoanDefaults
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size976.7 KiB
0
17999 
1
2001 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 17999
90.0%
1 2001
 
10.0%

Length

2024-09-19T17:28:39.198057image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-19T17:28:39.308565image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0 17999
90.0%
1 2001
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0 17999
90.0%
1 2001
 
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 20000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 17999
90.0%
1 2001
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 20000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 17999
90.0%
1 2001
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 20000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 17999
90.0%
1 2001
 
10.0%

PaymentHistory
Real number (ℝ)

Distinct38
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.99365
Minimum8
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:39.436972image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile16
Q121
median24
Q327
95-th percentile32
Maximum45
Range37
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.9454355
Coefficient of variation (CV)0.20611435
Kurtosis0.019649845
Mean23.99365
Median Absolute Deviation (MAD)3
Skewness0.21346549
Sum479873
Variance24.457333
MonotonicityNot monotonic
2024-09-19T17:28:39.594500image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
23 1615
 
8.1%
24 1596
 
8.0%
22 1571
 
7.9%
25 1546
 
7.7%
21 1392
 
7.0%
26 1378
 
6.9%
27 1323
 
6.6%
20 1252
 
6.3%
28 1076
 
5.4%
19 1064
 
5.3%
Other values (28) 6187
30.9%
ValueCountFrequency (%)
8 3
 
< 0.1%
9 6
 
< 0.1%
10 14
 
0.1%
11 38
 
0.2%
12 55
 
0.3%
13 109
 
0.5%
14 179
 
0.9%
15 309
1.5%
16 415
2.1%
17 646
3.2%
ValueCountFrequency (%)
45 1
 
< 0.1%
44 1
 
< 0.1%
43 2
 
< 0.1%
42 1
 
< 0.1%
41 11
 
0.1%
40 18
 
0.1%
39 42
0.2%
38 40
 
0.2%
37 64
0.3%
36 102
0.5%

LengthOfCreditHistory
Real number (ℝ)

Distinct29
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.9573
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:39.737262image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q322
95-th percentile28
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.3715519
Coefficient of variation (CV)0.55969673
Kurtosis-1.1957031
Mean14.9573
Median Absolute Deviation (MAD)7
Skewness0.002988583
Sum299146
Variance70.082881
MonotonicityNot monotonic
2024-09-19T17:28:39.882267image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
11 740
 
3.7%
9 737
 
3.7%
28 736
 
3.7%
1 732
 
3.7%
2 725
 
3.6%
19 725
 
3.6%
14 715
 
3.6%
21 713
 
3.6%
10 708
 
3.5%
16 708
 
3.5%
Other values (19) 12761
63.8%
ValueCountFrequency (%)
1 732
3.7%
2 725
3.6%
3 691
3.5%
4 649
3.2%
5 665
3.3%
6 667
3.3%
7 663
3.3%
8 681
3.4%
9 737
3.7%
10 708
3.5%
ValueCountFrequency (%)
29 648
3.2%
28 736
3.7%
27 688
3.4%
26 706
3.5%
25 678
3.4%
24 670
3.4%
23 669
3.3%
22 625
3.1%
21 713
3.6%
20 690
3.5%

SavingsAccountBalance
Real number (ℝ)

Distinct9199
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4946.0522
Minimum73
Maximum200089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:40.039788image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile573
Q11541.75
median2986
Q35873.25
95-th percentile15485.5
Maximum200089
Range200016
Interquartile range (IQR)4331.5

Descriptive statistics

Standard deviation6604.8875
Coefficient of variation (CV)1.3353857
Kurtosis79.171685
Mean4946.0522
Median Absolute Deviation (MAD)1778
Skewness6.0600985
Sum98921043
Variance43624539
MonotonicityNot monotonic
2024-09-19T17:28:40.222050image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1165 14
 
0.1%
1411 13
 
0.1%
1138 12
 
0.1%
1139 11
 
0.1%
770 11
 
0.1%
2324 11
 
0.1%
2134 11
 
0.1%
1303 11
 
0.1%
993 11
 
0.1%
802 10
 
0.1%
Other values (9189) 19885
99.4%
ValueCountFrequency (%)
73 1
< 0.1%
76 1
< 0.1%
78 1
< 0.1%
79 1
< 0.1%
86 1
< 0.1%
87 1
< 0.1%
94 1
< 0.1%
95 1
< 0.1%
96 1
< 0.1%
98 1
< 0.1%
ValueCountFrequency (%)
200089 1
< 0.1%
112659 1
< 0.1%
112128 1
< 0.1%
110226 1
< 0.1%
100019 1
< 0.1%
99503 1
< 0.1%
97299 1
< 0.1%
91158 1
< 0.1%
90467 1
< 0.1%
89793 1
< 0.1%

CheckingAccountBalance
Real number (ℝ)

Distinct5151
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1782.5551
Minimum24
Maximum52572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:40.394618image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile208
Q1551
median1116
Q32126
95-th percentile5608
Maximum52572
Range52548
Interquartile range (IQR)1575

Descriptive statistics

Standard deviation2245.3788
Coefficient of variation (CV)1.2596406
Kurtosis43.134131
Mean1782.5551
Median Absolute Deviation (MAD)666
Skewness4.7461421
Sum35651102
Variance5041726
MonotonicityNot monotonic
2024-09-19T17:28:40.561084image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303 21
 
0.1%
595 21
 
0.1%
286 20
 
0.1%
484 19
 
0.1%
285 19
 
0.1%
757 19
 
0.1%
478 19
 
0.1%
357 19
 
0.1%
503 19
 
0.1%
278 19
 
0.1%
Other values (5141) 19805
99.0%
ValueCountFrequency (%)
24 1
< 0.1%
25 2
< 0.1%
27 1
< 0.1%
28 1
< 0.1%
29 1
< 0.1%
36 1
< 0.1%
37 2
< 0.1%
40 2
< 0.1%
41 1
< 0.1%
42 2
< 0.1%
ValueCountFrequency (%)
52572 1
< 0.1%
38024 1
< 0.1%
34414 1
< 0.1%
32181 1
< 0.1%
30383 1
< 0.1%
29743 1
< 0.1%
28915 1
< 0.1%
26931 1
< 0.1%
26657 1
< 0.1%
26294 1
< 0.1%

TotalAssets
Real number (ℝ)

HIGH CORRELATION 

Distinct18814
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96964.395
Minimum2098
Maximum2619627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:40.724686image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2098
5-th percentile12514.95
Q131180.25
median60699
Q3117405.25
95-th percentile294855.75
Maximum2619627
Range2617529
Interquartile range (IQR)86225

Descriptive statistics

Standard deviation120799.94
Coefficient of variation (CV)1.2458175
Kurtosis56.217956
Mean96964.395
Median Absolute Deviation (MAD)35746.5
Skewness5.3113264
Sum1.9392879 × 109
Variance1.4592625 × 1010
MonotonicityNot monotonic
2024-09-19T17:28:40.895198image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22522 3
 
< 0.1%
49960 3
 
< 0.1%
109420 3
 
< 0.1%
69947 3
 
< 0.1%
26672 3
 
< 0.1%
31684 3
 
< 0.1%
50064 3
 
< 0.1%
17748 3
 
< 0.1%
54508 3
 
< 0.1%
20640 3
 
< 0.1%
Other values (18804) 19970
99.9%
ValueCountFrequency (%)
2098 1
< 0.1%
2370 1
< 0.1%
2505 1
< 0.1%
2597 1
< 0.1%
2760 1
< 0.1%
2854 1
< 0.1%
2929 1
< 0.1%
2973 1
< 0.1%
3147 1
< 0.1%
3253 1
< 0.1%
ValueCountFrequency (%)
2619627 1
< 0.1%
2612797 1
< 0.1%
2141590 1
< 0.1%
2131807 1
< 0.1%
2123832 1
< 0.1%
1739999 1
< 0.1%
1719754 1
< 0.1%
1665558 1
< 0.1%
1628933 1
< 0.1%
1585716 1
< 0.1%

TotalLiabilities
Real number (ℝ)

Distinct17163
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36252.413
Minimum372
Maximum1417302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:41.063000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum372
5-th percentile4246
Q111196.75
median22203
Q343146.5
95-th percentile112298
Maximum1417302
Range1416930
Interquartile range (IQR)31949.75

Descriptive statistics

Standard deviation47251.511
Coefficient of variation (CV)1.3034032
Kurtosis78.565755
Mean36252.413
Median Absolute Deviation (MAD)13345
Skewness5.848874
Sum7.2504826 × 108
Variance2.2327053 × 109
MonotonicityNot monotonic
2024-09-19T17:28:41.236451image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6721 5
 
< 0.1%
13145 5
 
< 0.1%
5950 5
 
< 0.1%
9516 5
 
< 0.1%
18910 5
 
< 0.1%
11576 5
 
< 0.1%
14335 5
 
< 0.1%
7876 5
 
< 0.1%
9995 5
 
< 0.1%
12825 4
 
< 0.1%
Other values (17153) 19951
99.8%
ValueCountFrequency (%)
372 1
< 0.1%
565 1
< 0.1%
576 1
< 0.1%
609 1
< 0.1%
625 1
< 0.1%
741 1
< 0.1%
743 1
< 0.1%
753 1
< 0.1%
757 1
< 0.1%
769 1
< 0.1%
ValueCountFrequency (%)
1417302 1
< 0.1%
1020702 1
< 0.1%
912238 1
< 0.1%
745195 1
< 0.1%
731375 1
< 0.1%
682492 1
< 0.1%
641082 1
< 0.1%
619124 1
< 0.1%
588103 1
< 0.1%
552089 1
< 0.1%

MonthlyIncome
Real number (ℝ)

HIGH CORRELATION 

Distinct17489
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4891.7155
Minimum1250
Maximum25000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:41.415639image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1250
5-th percentile1444.2333
Q12629.5833
median4034.75
Q36163
95-th percentile11230.421
Maximum25000
Range23750
Interquartile range (IQR)3533.4167

Descriptive statistics

Standard deviation3296.7716
Coefficient of variation (CV)0.67394998
Kurtosis5.8552998
Mean4891.7155
Median Absolute Deviation (MAD)1627.9583
Skewness1.9929286
Sum97834310
Variance10868703
MonotonicityNot monotonic
2024-09-19T17:28:41.580301image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1250 591
 
3.0%
25000 26
 
0.1%
5672 4
 
< 0.1%
2052.25 4
 
< 0.1%
2913.166667 4
 
< 0.1%
2226.75 4
 
< 0.1%
2203.083333 4
 
< 0.1%
3050.333333 4
 
< 0.1%
5884.833333 3
 
< 0.1%
2118.583333 3
 
< 0.1%
Other values (17479) 19353
96.8%
ValueCountFrequency (%)
1250 591
3.0%
1250.333333 1
 
< 0.1%
1250.416667 1
 
< 0.1%
1252.583333 1
 
< 0.1%
1253.583333 1
 
< 0.1%
1254.083333 1
 
< 0.1%
1254.333333 1
 
< 0.1%
1254.5 1
 
< 0.1%
1254.916667 1
 
< 0.1%
1256.166667 1
 
< 0.1%
ValueCountFrequency (%)
25000 26
0.1%
24935.83333 1
 
< 0.1%
24730.5 1
 
< 0.1%
24651.5 1
 
< 0.1%
23931.66667 1
 
< 0.1%
23928.91667 1
 
< 0.1%
23904.66667 1
 
< 0.1%
23896.66667 1
 
< 0.1%
23801.41667 1
 
< 0.1%
23797.25 1
 
< 0.1%

UtilityBillsPaymentHistory
Real number (ℝ)

UNIQUE 

Distinct20000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.79991765
Minimum0.25920306
Maximum0.99943276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:41.737088image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.25920306
5-th percentile0.57202008
Q10.72737948
median0.82096176
Q30.89233345
95-th percentile0.95816691
Maximum0.99943276
Range0.7402297
Interquartile range (IQR)0.16495397

Descriptive statistics

Standard deviation0.12066495
Coefficient of variation (CV)0.15084671
Kurtosis0.55380296
Mean0.79991765
Median Absolute Deviation (MAD)0.079941033
Skewness-0.84623367
Sum15998.353
Variance0.01456003
MonotonicityNot monotonic
2024-09-19T17:28:41.926836image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7249720461 1
 
< 0.1%
0.8551805192 1
 
< 0.1%
0.6771703281 1
 
< 0.1%
0.7399874196 1
 
< 0.1%
0.8871823215 1
 
< 0.1%
0.9183733645 1
 
< 0.1%
0.6946281392 1
 
< 0.1%
0.4526056762 1
 
< 0.1%
0.8810390695 1
 
< 0.1%
0.6783711547 1
 
< 0.1%
Other values (19990) 19990
> 99.9%
ValueCountFrequency (%)
0.2592030578 1
< 0.1%
0.2700363502 1
< 0.1%
0.2710050672 1
< 0.1%
0.2761001659 1
< 0.1%
0.2765661479 1
< 0.1%
0.2844224932 1
< 0.1%
0.2970491725 1
< 0.1%
0.2973604192 1
< 0.1%
0.298948528 1
< 0.1%
0.3033782778 1
< 0.1%
ValueCountFrequency (%)
0.9994327597 1
< 0.1%
0.9989661231 1
< 0.1%
0.9986182115 1
< 0.1%
0.9981940454 1
< 0.1%
0.9979088025 1
< 0.1%
0.9976676268 1
< 0.1%
0.9976164155 1
< 0.1%
0.9974302787 1
< 0.1%
0.9968968011 1
< 0.1%
0.9966365444 1
< 0.1%

JobTenure
Real number (ℝ)

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.00265
Minimum0
Maximum16
Zeros152
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:42.100379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q36
95-th percentile9
Maximum16
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2368042
Coefficient of variation (CV)0.44712387
Kurtosis0.14834702
Mean5.00265
Median Absolute Deviation (MAD)2
Skewness0.43645246
Sum100053
Variance5.0032931
MonotonicityNot monotonic
2024-09-19T17:28:42.241740image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4 3609
18.0%
5 3528
17.6%
6 2835
14.2%
3 2759
13.8%
7 2098
10.5%
2 1675
8.4%
8 1279
 
6.4%
9 770
 
3.9%
1 652
 
3.3%
10 392
 
2.0%
Other values (7) 403
 
2.0%
ValueCountFrequency (%)
0 152
 
0.8%
1 652
 
3.3%
2 1675
8.4%
3 2759
13.8%
4 3609
18.0%
5 3528
17.6%
6 2835
14.2%
7 2098
10.5%
8 1279
 
6.4%
9 770
 
3.9%
ValueCountFrequency (%)
16 1
 
< 0.1%
15 2
 
< 0.1%
14 8
 
< 0.1%
13 28
 
0.1%
12 66
 
0.3%
11 146
 
0.7%
10 392
 
2.0%
9 770
 
3.9%
8 1279
6.4%
7 2098
10.5%

NetWorth
Real number (ℝ)

HIGH CORRELATION 

Distinct17724
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72294.319
Minimum1000
Maximum2603208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:42.414355image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile2638.95
Q18734.75
median32855.5
Q388825.5
95-th percentile269452.9
Maximum2603208
Range2602208
Interquartile range (IQR)80090.75

Descriptive statistics

Standard deviation117920.02
Coefficient of variation (CV)1.6311105
Kurtosis61.353817
Mean72294.319
Median Absolute Deviation (MAD)27266
Skewness5.5998442
Sum1.4458864 × 109
Variance1.3905131 × 1010
MonotonicityNot monotonic
2024-09-19T17:28:42.608027image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7030 6
 
< 0.1%
5423 5
 
< 0.1%
6523 5
 
< 0.1%
6880 5
 
< 0.1%
9803 4
 
< 0.1%
10073 4
 
< 0.1%
8009 4
 
< 0.1%
8884 4
 
< 0.1%
10833 4
 
< 0.1%
5230 4
 
< 0.1%
Other values (17714) 19955
99.8%
ValueCountFrequency (%)
1000 1
 
< 0.1%
1004 1
 
< 0.1%
1006 2
< 0.1%
1009 1
 
< 0.1%
1011 3
< 0.1%
1012 1
 
< 0.1%
1014 1
 
< 0.1%
1018 3
< 0.1%
1021 1
 
< 0.1%
1022 1
 
< 0.1%
ValueCountFrequency (%)
2603208 1
< 0.1%
2598936 1
< 0.1%
2108279 1
< 0.1%
2106873 1
< 0.1%
2088949 1
< 0.1%
1736889 1
< 0.1%
1681779 1
< 0.1%
1645402 1
< 0.1%
1595777 1
< 0.1%
1570692 1
< 0.1%

BaseInterestRate
Real number (ℝ)

HIGH CORRELATION 

Distinct18742
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23912417
Minimum0.130101
Maximum0.405029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:42.770186image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.130101
5-th percentile0.18589945
Q10.21388925
median0.236157
Q30.26153325
95-th percentile0.3017091
Maximum0.405029
Range0.274928
Interquartile range (IQR)0.047644

Descriptive statistics

Standard deviation0.035509492
Coefficient of variation (CV)0.14849813
Kurtosis0.25807461
Mean0.23912417
Median Absolute Deviation (MAD)0.0236285
Skewness0.46185019
Sum4782.4834
Variance0.0012609241
MonotonicityNot monotonic
2024-09-19T17:28:42.931276image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.217627 4
 
< 0.1%
0.232423 4
 
< 0.1%
0.205029 4
 
< 0.1%
0.199567 4
 
< 0.1%
0.247898 3
 
< 0.1%
0.25785 3
 
< 0.1%
0.226662 3
 
< 0.1%
0.262907 3
 
< 0.1%
0.22179 3
 
< 0.1%
0.237482 3
 
< 0.1%
Other values (18732) 19966
99.8%
ValueCountFrequency (%)
0.130101 1
< 0.1%
0.130338 1
< 0.1%
0.135055 1
< 0.1%
0.139401 1
< 0.1%
0.140806 1
< 0.1%
0.141703 1
< 0.1%
0.142464 1
< 0.1%
0.144152 1
< 0.1%
0.145969 1
< 0.1%
0.146362 1
< 0.1%
ValueCountFrequency (%)
0.405029 1
< 0.1%
0.403615 1
< 0.1%
0.391126 1
< 0.1%
0.38974 1
< 0.1%
0.38932 1
< 0.1%
0.387126 1
< 0.1%
0.384555 1
< 0.1%
0.38226 1
< 0.1%
0.38125 1
< 0.1%
0.3799 1
< 0.1%

InterestRate
Real number (ℝ)

HIGH CORRELATION 

Distinct19999
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23911002
Minimum0.11330959
Maximum0.44678732
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:43.095906image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.11330959
5-th percentile0.17629732
Q10.2091425
median0.23538999
Q30.26553181
95-th percentile0.31361118
Maximum0.44678732
Range0.33347773
Interquartile range (IQR)0.056389314

Descriptive statistics

Standard deviation0.042205188
Coefficient of variation (CV)0.1765095
Kurtosis0.30293343
Mean0.23911002
Median Absolute Deviation (MAD)0.028077632
Skewness0.48549103
Sum4782.2003
Variance0.0017812779
MonotonicityNot monotonic
2024-09-19T17:28:44.271711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2537472 2
 
< 0.1%
0.2275896304 1
 
< 0.1%
0.2568953382 1
 
< 0.1%
0.2118159751 1
 
< 0.1%
0.2205717842 1
 
< 0.1%
0.2260620923 1
 
< 0.1%
0.2379626882 1
 
< 0.1%
0.2034154623 1
 
< 0.1%
0.2434104 1
 
< 0.1%
0.1689304569 1
 
< 0.1%
Other values (19989) 19989
99.9%
ValueCountFrequency (%)
0.1133095948 1
< 0.1%
0.1139712 1
< 0.1%
0.1234115738 1
< 0.1%
0.1252136 1
< 0.1%
0.1257128 1
< 0.1%
0.1295496 1
< 0.1%
0.1301769635 1
< 0.1%
0.1307776 1
< 0.1%
0.1315277618 1
< 0.1%
0.1319541216 1
< 0.1%
ValueCountFrequency (%)
0.4467873211 1
< 0.1%
0.4433016 1
< 0.1%
0.4293898142 1
< 0.1%
0.4233622408 1
< 0.1%
0.4200912584 1
< 0.1%
0.4190518457 1
< 0.1%
0.4190290679 1
< 0.1%
0.4083691524 1
< 0.1%
0.4063893038 1
< 0.1%
0.4055500811 1
< 0.1%

MonthlyLoanPayment
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct20000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean911.60705
Minimum97.030193
Maximum10892.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:44.462093image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum97.030193
5-th percentile288.21791
Q1493.7637
median728.51145
Q31112.7708
95-th percentile2116.4909
Maximum10892.63
Range10795.599
Interquartile range (IQR)619.00706

Descriptive statistics

Standard deviation674.58347
Coefficient of variation (CV)0.7399937
Kurtosis17.631819
Mean911.60705
Median Absolute Deviation (MAD)280.67559
Skewness3.0818453
Sum18232141
Variance455062.86
MonotonicityNot monotonic
2024-09-19T17:28:44.633014image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
419.8059916 1
 
< 0.1%
434.0739753 1
 
< 0.1%
290.0911693 1
 
< 0.1%
530.9374894 1
 
< 0.1%
916.0035524 1
 
< 0.1%
932.642382 1
 
< 0.1%
1077.606756 1
 
< 0.1%
850.3657535 1
 
< 0.1%
698.0384009 1
 
< 0.1%
311.7467531 1
 
< 0.1%
Other values (19990) 19990
> 99.9%
ValueCountFrequency (%)
97.03019289 1
< 0.1%
103.153018 1
< 0.1%
107.6239795 1
< 0.1%
111.2914076 1
< 0.1%
114.8318616 1
< 0.1%
118.0411875 1
< 0.1%
118.3906025 1
< 0.1%
118.4915807 1
< 0.1%
119.2243713 1
< 0.1%
120.5599956 1
< 0.1%
ValueCountFrequency (%)
10892.62952 1
< 0.1%
9217.082609 1
< 0.1%
8754.455749 1
< 0.1%
8404.018914 1
< 0.1%
8274.293728 1
< 0.1%
7899.448879 1
< 0.1%
7859.85508 1
< 0.1%
7683.120159 1
< 0.1%
7602.776571 1
< 0.1%
7235.419792 1
< 0.1%

TotalDebtToIncomeRatio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct20000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.40218166
Minimum0.016043211
Maximum4.6476568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2024-09-19T17:28:44.795462image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.016043211
5-th percentile0.087854813
Q10.17969314
median0.30271146
Q30.50921367
95-th percentile1.0527653
Maximum4.6476568
Range4.6316136
Interquartile range (IQR)0.32952053

Descriptive statistics

Standard deviation0.3389243
Coefficient of variation (CV)0.84271446
Kurtosis11.586766
Mean0.40218166
Median Absolute Deviation (MAD)0.14694587
Skewness2.5744941
Sum8043.6331
Variance0.11486968
MonotonicityNot monotonic
2024-09-19T17:28:44.953186image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1810771978 1
 
< 0.1%
0.3885856691 1
 
< 0.1%
0.2194919446 1
 
< 0.1%
0.09545613757 1
 
< 0.1%
1.708795859 1
 
< 0.1%
0.4207257314 1
 
< 0.1%
0.1327113484 1
 
< 0.1%
0.2477510427 1
 
< 0.1%
0.3395185991 1
 
< 0.1%
0.1854749691 1
 
< 0.1%
Other values (19990) 19990
> 99.9%
ValueCountFrequency (%)
0.01604321121 1
< 0.1%
0.01652462622 1
< 0.1%
0.01760721406 1
< 0.1%
0.02464195517 1
< 0.1%
0.02465942152 1
< 0.1%
0.02488125074 1
< 0.1%
0.02535006145 1
< 0.1%
0.02598317271 1
< 0.1%
0.02598441134 1
< 0.1%
0.02671890504 1
< 0.1%
ValueCountFrequency (%)
4.647656816 1
< 0.1%
4.143179541 1
< 0.1%
3.734202733 1
< 0.1%
3.698624463 1
< 0.1%
3.656697659 1
< 0.1%
3.473635806 1
< 0.1%
3.448054457 1
< 0.1%
3.390851485 1
< 0.1%
3.224208314 1
< 0.1%
3.139027935 1
< 0.1%

LoanApproved
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size976.7 KiB
0
15220 
1
4780 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 15220
76.1%
1 4780
 
23.9%

Length

2024-09-19T17:28:45.097155image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-19T17:28:45.210711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0 15220
76.1%
1 4780
 
23.9%

Most occurring characters

ValueCountFrequency (%)
0 15220
76.1%
1 4780
 
23.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 20000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 15220
76.1%
1 4780
 
23.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 20000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 15220
76.1%
1 4780
 
23.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 20000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 15220
76.1%
1 4780
 
23.9%

Interactions

2024-09-19T17:28:29.023160image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:02.004443image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:05.545036image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:08.892443image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:12.273711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:15.535908image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:18.834036image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:21.957665image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:25.022305image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:28.234375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:35.700836image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:38.821266image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:41.963001image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:45.435313image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:48.649704image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:51.767828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:55.258178image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:58.356499image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:02.385018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:05.778495image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:08.807133image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:12.036357image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:15.242915image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:18.336920image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:22.258742image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:25.787725image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:29.135650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:02.207366image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:05.700650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:09.011210image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:12.393290image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:15.662286image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:18.941288image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:22.072379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:25.146915image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:28.363997image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:35.820288image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:38.940205image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:42.077255image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:45.569069image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:48.758237image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:51.891107image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:55.375319image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:58.469949image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:02.505808image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:05.894588image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:08.927552image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:12.166456image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:15.363367image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:18.453408image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:22.383331image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:25.914259image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:29.244901image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:02.348472image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:05.823852image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:09.145345image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:12.519130image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:15.791325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:19.059747image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:22.187315image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:25.261818image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:32.812182image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:35.926901image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:39.057059image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:42.187367image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:45.691758image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:48.888887image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:52.011993image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:55.487017image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:58.588470image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:02.626997image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:06.005210image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:09.048387image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:12.294876image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:15.478186image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:18.568987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:22.507254image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:26.045169image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:29.363995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:02.486516image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:05.952959image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:09.274492image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:12.642571image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:15.929654image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:19.186446image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:22.310690image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:25.395131image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:32.934895image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:36.059964image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:39.180919image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:42.315149image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:45.809184image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:49.006917image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:52.142481image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:55.611687image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:58.711862image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:02.771095image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:06.123945image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:09.175235image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:12.424480image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-09-19T17:27:21.122587image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:24.194206image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:27.385675image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:34.826969image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:37.979382image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:41.112334image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:44.186038image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:47.765439image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:50.938846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:54.300908image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:57.511135image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:01.530181image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:04.786748image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:07.984409image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:11.153645image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:14.387323image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:17.477618image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:21.406858image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:24.803569image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:28.187331image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:31.381192image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:04.799862image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:08.108517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:11.492780image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:14.796125image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:18.082906image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:21.248990image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:24.315961image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:27.514741image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:34.969259image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:38.103981image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:41.238591image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:44.306322image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:47.893274image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:51.064411image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:54.441557image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:57.646686image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:01.659883image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:04.914248image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:08.108785image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:11.277595image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:14.515022image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:17.593625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:21.536769image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:24.952917image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:28.309766image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:31.505917image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:04.930750image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:08.240147image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:11.634533image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:14.925023image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:18.218759image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:21.375320image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:24.439290image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:27.642406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:35.091538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:38.236371image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:41.366913image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:44.424536image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:48.036119image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:51.189950image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:54.591393image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:57.776725image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:01.794792image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:05.079360image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:08.227955image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:11.411076image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:14.642731image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:17.729501image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:21.665787image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:25.089393image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:28.437619image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:31.624682image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:05.060423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:08.359676image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:11.760752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:15.048163image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:18.341854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:21.491259image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:24.550215image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:27.761855image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:35.207922image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:38.353469image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:41.487401image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:44.543167image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:48.162923image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:51.305461image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:54.726895image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:57.889461image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:01.918650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:05.252518image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:08.340471image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:11.529267image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:14.762134image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:17.844608image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:21.782881image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:25.211568image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:28.552776image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:31.741246image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:05.181688image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:08.491290image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:11.890692image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:15.170885image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:18.461629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:21.607960image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:24.663952image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:27.880499image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:35.351112image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:38.472082image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:41.607705image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:44.657794image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:48.277678image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:51.419295image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:54.868486image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:58.002654image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:02.034517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:05.391938image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:08.455026image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:11.667892image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:14.885140image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:17.955639image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:21.899788image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:25.340703image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:28.671174image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:31.875918image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:05.308917image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:08.626942image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:12.023439image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:15.302153image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:18.592347image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:21.732750image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:24.803277image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:28.004904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:35.473673image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:38.598288image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:41.736424image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:45.200770image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:48.406719image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:51.543475image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:55.000842image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:58.129307image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:02.155181image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:05.536707image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:08.575693image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:11.799158image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:15.012619image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:18.091189image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:22.032005image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:25.483733image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:28.799096image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:31.989350image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:05.429622image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:08.745886image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:12.153174image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:15.422930image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:18.714460image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:21.845804image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:24.917298image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:28.123462image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:35.594633image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:38.712373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:41.853695image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:45.337782image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:48.539457image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:51.656657image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:55.126138image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:27:58.244813image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:02.270264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:05.661205image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:08.697289image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:11.920460image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:15.130804image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:18.227117image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:22.145949image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:25.643978image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-19T17:28:28.913343image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Correlations

2024-09-19T17:28:45.350282image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
AgeAnnualIncomeBankruptcyHistoryBaseInterestRateCheckingAccountBalanceCreditCardUtilizationRateCreditScoreDebtToIncomeRatioEducationLevelEmploymentStatusExperienceHomeOwnershipStatusInterestRateJobTenureLengthOfCreditHistoryLoanAmountLoanApprovedLoanDurationLoanPurposeMaritalStatusMonthlyDebtPaymentsMonthlyIncomeMonthlyLoanPaymentNetWorthNumberOfCreditInquiriesNumberOfDependentsNumberOfOpenCreditLinesPaymentHistoryPreviousLoanDefaultsSavingsAccountBalanceTotalAssetsTotalDebtToIncomeRatioTotalLiabilitiesUtilityBillsPaymentHistory
Age1.0000.1520.022-0.2310.010-0.0010.3230.0050.0100.0000.9850.013-0.1950.001-0.002-0.0030.145-0.0060.0030.0080.0110.152-0.0260.005-0.001-0.002-0.003-0.0010.000-0.0030.004-0.133-0.007-0.005
AnnualIncome0.1521.0000.000-0.0880.008-0.0090.1200.0100.0650.0000.1540.009-0.076-0.0030.000-0.0090.594-0.0030.0000.0130.0040.996-0.0150.006-0.0010.002-0.013-0.0010.0160.0070.005-0.800-0.007-0.008
BankruptcyHistory0.0220.0001.0000.0100.0000.0120.0150.0070.0060.0000.0240.0000.0000.0280.0200.0000.0700.0040.0090.0150.0020.0000.0000.0170.0000.0000.0240.0100.0000.0000.0150.0000.0000.000
BaseInterestRate-0.231-0.0880.0101.0000.0020.004-0.703-0.0030.0880.007-0.2350.0110.821-0.0020.0070.3390.2490.5590.0000.015-0.001-0.0880.119-0.005-0.0000.0040.008-0.0030.011-0.005-0.0080.1270.006-0.004
CheckingAccountBalance0.0100.0080.0000.0021.0000.012-0.0020.0040.0000.0060.0090.0000.002-0.005-0.0140.0120.000-0.0080.0000.020-0.0080.0080.0170.002-0.003-0.002-0.005-0.0110.0000.0170.007-0.0030.002-0.007
CreditCardUtilizationRate-0.001-0.0090.0120.0040.0121.000-0.0090.0000.0000.004-0.0010.0000.002-0.0030.0070.0050.000-0.0040.0130.0120.002-0.0080.008-0.003-0.0000.0080.0020.0060.0080.002-0.0050.012-0.0080.013
CreditScore0.3230.1200.015-0.703-0.002-0.0091.0000.0040.1360.0180.3280.000-0.5760.0070.005-0.0110.1540.0050.0080.0000.0110.120-0.082-0.001-0.000-0.014-0.0100.0030.000-0.002-0.002-0.133-0.009-0.005
DebtToIncomeRatio0.0050.0100.007-0.0030.0040.0000.0041.0000.0090.0000.0030.007-0.0050.008-0.002-0.0070.0000.0040.0000.0130.0070.010-0.010-0.0050.007-0.0070.005-0.0010.000-0.013-0.005-0.0090.005-0.010
EducationLevel0.0100.0650.0060.0880.0000.0000.1360.0091.0000.0700.0060.0000.0700.0150.0110.0060.1950.0000.0000.0000.0000.0750.0000.0000.0070.0000.0170.0110.0000.0000.0000.0560.0000.013
EmploymentStatus0.0000.0000.0000.0070.0060.0040.0180.0000.0701.0000.0000.0000.0000.0140.0000.0120.0430.0000.0100.0000.0120.0120.0000.0140.0000.0000.0090.0160.0130.0190.0120.0000.0000.006
Experience0.9850.1540.024-0.2350.009-0.0010.3280.0030.0060.0001.0000.010-0.1990.002-0.002-0.0040.146-0.0050.0000.0050.0120.154-0.0270.006-0.002-0.001-0.005-0.0010.000-0.0010.004-0.135-0.007-0.006
HomeOwnershipStatus0.0130.0090.0000.0110.0000.0000.0000.0070.0000.0000.0101.0000.0000.0000.0000.0100.0340.0070.0050.0100.0210.0070.0000.0000.0000.0000.0060.0090.0000.0000.0000.0040.0060.000
InterestRate-0.195-0.0760.0000.8210.0020.002-0.576-0.0050.0700.000-0.1990.0001.000-0.0030.0060.2840.3030.4670.0080.000-0.001-0.0760.138-0.003-0.0040.0050.0110.0050.000-0.001-0.0040.1260.009-0.005
JobTenure0.001-0.0030.028-0.002-0.005-0.0030.0070.0080.0150.0140.0020.000-0.0031.0000.0150.0020.0040.0010.0000.0000.007-0.0040.0030.0060.0010.0120.008-0.0120.0000.0030.0120.0050.004-0.012
LengthOfCreditHistory-0.0020.0000.0200.007-0.0140.0070.005-0.0020.0110.000-0.0020.0000.0060.0151.0000.0050.1050.0150.0120.000-0.0030.000-0.005-0.000-0.0030.0020.0040.0020.0060.0000.003-0.0050.0080.001
LoanAmount-0.003-0.0090.0000.3390.0120.005-0.011-0.0070.0060.012-0.0040.0100.2840.0020.0051.0000.2310.0010.0000.0160.015-0.0090.867-0.000-0.004-0.009-0.0020.0000.000-0.007-0.0030.432-0.009-0.015
LoanApproved0.1450.5940.0700.2490.0000.0000.1540.0000.1950.0430.1460.0340.3030.0040.1050.2311.0000.1050.0120.0000.0630.6160.1580.1640.0000.0130.0000.0240.0650.0000.1640.3380.0220.003
LoanDuration-0.006-0.0030.0040.559-0.008-0.0040.0050.0040.0000.000-0.0050.0070.4670.0010.0150.0010.1051.0000.0120.0000.000-0.003-0.410-0.003-0.005-0.0030.0000.0020.017-0.007-0.004-0.2160.008-0.002
LoanPurpose0.0030.0000.0090.0000.0000.0130.0080.0000.0000.0100.0000.0050.0080.0000.0120.0000.0120.0121.0000.0030.0020.0020.0000.0000.0150.0000.0000.0160.0040.0000.0000.0100.0000.004
MaritalStatus0.0080.0130.0150.0150.0200.0120.0000.0130.0000.0000.0050.0100.0000.0000.0000.0160.0000.0000.0031.0000.0000.0000.0110.0000.0030.0140.0080.0000.0000.0170.0000.0000.0110.000
MonthlyDebtPayments0.0110.0040.002-0.001-0.0080.0020.0110.0070.0000.0120.0120.021-0.0010.007-0.0030.0150.0630.0000.0020.0001.0000.0040.0110.0050.005-0.0010.0040.0030.000-0.0030.0020.2350.0020.003
MonthlyIncome0.1520.9960.000-0.0880.008-0.0080.1200.0100.0750.0120.1540.007-0.076-0.0040.000-0.0090.616-0.0030.0020.0000.0041.000-0.0160.006-0.0010.002-0.012-0.0010.0000.0060.004-0.803-0.007-0.007
MonthlyLoanPayment-0.026-0.0150.0000.1190.0170.008-0.082-0.0100.0000.000-0.0270.0000.1380.003-0.0050.8670.158-0.4100.0000.0110.011-0.0161.000-0.001-0.001-0.006-0.0010.0010.000-0.004-0.0020.508-0.008-0.011
NetWorth0.0050.0060.017-0.0050.002-0.003-0.001-0.0050.0000.0140.0060.000-0.0030.006-0.000-0.0000.164-0.0030.0000.0000.0050.006-0.0011.0000.004-0.008-0.0030.0020.0120.0120.860-0.002-0.3420.006
NumberOfCreditInquiries-0.001-0.0010.000-0.000-0.003-0.000-0.0000.0070.0070.000-0.0020.000-0.0040.001-0.003-0.0040.000-0.0050.0150.0030.005-0.001-0.0010.0041.000-0.0050.000-0.0070.0000.0060.0040.0010.0080.006
NumberOfDependents-0.0020.0020.0000.004-0.0020.008-0.014-0.0070.0000.000-0.0010.0000.0050.0120.002-0.0090.013-0.0030.0000.014-0.0010.002-0.006-0.008-0.0051.0000.0040.0040.0000.0010.000-0.0060.0210.006
NumberOfOpenCreditLines-0.003-0.0130.0240.008-0.0050.002-0.0100.0050.0170.009-0.0050.0060.0110.0080.004-0.0020.0000.0000.0000.0080.004-0.012-0.001-0.0030.0000.0041.000-0.0030.0230.018-0.0070.0110.002-0.010
PaymentHistory-0.001-0.0010.010-0.003-0.0110.0060.003-0.0010.0110.016-0.0010.0090.005-0.0120.0020.0000.0240.0020.0160.0000.003-0.0010.0010.002-0.0070.004-0.0031.0000.000-0.001-0.009-0.001-0.0200.012
PreviousLoanDefaults0.0000.0160.0000.0110.0000.0080.0000.0000.0000.0130.0000.0000.0000.0000.0060.0000.0650.0170.0040.0000.0000.0000.0000.0120.0000.0000.0230.0001.0000.0000.0120.0000.0000.014
SavingsAccountBalance-0.0030.0070.000-0.0050.0170.002-0.002-0.0130.0000.019-0.0010.000-0.0010.0030.000-0.0070.000-0.0070.0000.017-0.0030.006-0.0040.0120.0060.0010.018-0.0010.0001.0000.018-0.006-0.000-0.014
TotalAssets0.0040.0050.015-0.0080.007-0.005-0.002-0.0050.0000.0120.0040.000-0.0040.0120.003-0.0030.164-0.0040.0000.0000.0020.004-0.0020.8600.0040.000-0.007-0.0090.0120.0181.000-0.0030.0070.006
TotalDebtToIncomeRatio-0.133-0.8000.0000.127-0.0030.012-0.133-0.0090.0560.000-0.1350.0040.1260.005-0.0050.4320.338-0.2160.0100.0000.235-0.8030.508-0.0020.001-0.0060.011-0.0010.000-0.006-0.0031.0000.0030.001
TotalLiabilities-0.007-0.0070.0000.0060.002-0.008-0.0090.0050.0000.000-0.0070.0060.0090.0040.008-0.0090.0220.0080.0000.0110.002-0.007-0.008-0.3420.0080.0210.002-0.0200.000-0.0000.0070.0031.0000.002
UtilityBillsPaymentHistory-0.005-0.0080.000-0.004-0.0070.013-0.005-0.0100.0130.006-0.0060.000-0.005-0.0120.001-0.0150.003-0.0020.0040.0000.003-0.007-0.0110.0060.0060.006-0.0100.0120.014-0.0140.0060.0010.0021.000

Missing values

2024-09-19T17:28:32.202628image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
A simple visualization of nullity by column.
2024-09-19T17:28:32.949224image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

ApplicationDateAgeAnnualIncomeCreditScoreEmploymentStatusEducationLevelExperienceLoanAmountLoanDurationMaritalStatusNumberOfDependentsHomeOwnershipStatusMonthlyDebtPaymentsCreditCardUtilizationRateNumberOfOpenCreditLinesNumberOfCreditInquiriesDebtToIncomeRatioBankruptcyHistoryLoanPurposePreviousLoanDefaultsPaymentHistoryLengthOfCreditHistorySavingsAccountBalanceCheckingAccountBalanceTotalAssetsTotalLiabilitiesMonthlyIncomeUtilityBillsPaymentHistoryJobTenureNetWorthBaseInterestRateInterestRateMonthlyLoanPaymentTotalDebtToIncomeRatioLoanApproved
02018-01-014539948617EmployedMaster221315248Married2Own1830.354418120.3583360Home029976321202146111191833329.0000000.724972111269280.1996520.227590419.8059920.1810770
12018-01-023839709628EmployedAssociate152604548Single1Mortgage4960.087827530.3302740Debt Consolidation0219462734605320495953309.0833330.9351323436090.2070450.201077794.0542380.3898520
22018-01-034740724570EmployedBachelor261762736Married2Rent9020.137414200.2447290Education02022886895251761288743393.6666670.872241652050.2176270.212548666.4066880.4621570
32018-01-045869084545EmployedHigh School343789896Single1Mortgage7550.267587210.4362440Home027101675121710482253705757.0000000.8961555994520.3003980.3009111047.5069800.3130980
42018-01-0537103264594EmployedAssociate17918436Married1Mortgage2740.320535000.0788840Debt Consolidation0262715554981244305172868605.3333330.94136952270190.1971840.175990330.1791400.0702101
52018-01-0637178310626Self-EmployedMaster161543372Married0Rent7320.102211510.2593660Debt Consolidation1161921181223679144084314859.1666670.7560795270710.2174330.217601385.5770740.0752111
62018-01-075851250564EmployedHigh School391274148Married0Rent3370.367380610.1274730Other021185161173565624438944270.8333330.8842755217300.2257410.205271391.3003520.1705290
72018-01-084997345516EmployedHigh School231963412Divorced5Mortgage2880.209768500.3955680Other019117817450177115568112.0833330.9334925386210.2266340.2091131827.3600550.2607671
82018-01-0934116841603EmployedBachelor125535360Divorced5Own6380.192701300.3132331Debt Consolidation02529115770829632499409736.7500000.728397377110.2588530.2915391762.1990260.2465090
92018-01-104640615612EmployedAssociate192544312Married4Other7040.512465320.5051480Other023101028446129664128523384.5833330.61532331168120.1844430.1972712353.5774240.9033840
ApplicationDateAgeAnnualIncomeCreditScoreEmploymentStatusEducationLevelExperienceLoanAmountLoanDurationMaritalStatusNumberOfDependentsHomeOwnershipStatusMonthlyDebtPaymentsCreditCardUtilizationRateNumberOfOpenCreditLinesNumberOfCreditInquiriesDebtToIncomeRatioBankruptcyHistoryLoanPurposePreviousLoanDefaultsPaymentHistoryLengthOfCreditHistorySavingsAccountBalanceCheckingAccountBalanceTotalAssetsTotalLiabilitiesMonthlyIncomeUtilityBillsPaymentHistoryJobTenureNetWorthBaseInterestRateInterestRateMonthlyLoanPaymentTotalDebtToIncomeRatioLoanApproved
199902072-09-245496264621EmployedBachelor283803148Single2Rent3410.309016110.0492590Home0258429753918827289098022.0000000.512786526040.2225310.1961531149.5164370.1858041
199912072-09-253460433555EmployedHigh School101129960Married3Mortgage4110.485318300.3004430Home03122149734279005477345036.0833330.7556525823200.2387990.226940316.5405750.1444661
199922072-09-265034282578EmployedHigh School272848948Single3Mortgage4350.405505210.3033140Debt Consolidation01963769126729185183952856.8333330.8395982107900.2344890.243943935.0143590.4795570
199932072-09-275030578588EmployedBachelor291465448Single0Mortgage1370.563849500.4694260Auto03262912111072455804312548.1666670.889639334450.2156540.188936437.3338290.2253910
199942072-09-285133354562EmployedHigh School302208236Single1Own1900.271351100.2436410Home02286489429239447106762779.5000000.923075122287710.2260820.248882876.6712980.3837640
199952072-09-294430180587EmployedHigh School192452136Married3Rent6730.101288510.4680770Auto0217235342980969256422515.0000000.8262171553270.2160210.195574905.7677120.6277410
199962072-09-305649246567EmployedAssociate332581836Married5Rent4140.471818200.3173720Debt Consolidation0302869101836957155694103.8333330.8166183640020.2273180.199168958.3956330.3344180
199972072-10-014448958645EmployedBachelor203703372Married3Mortgage5120.216596310.0230140Home0288217574610831646534079.8333330.88721631036630.2295330.226766945.4274540.3572270
199982072-10-026041025560EmployedHigh School361476072Married3Own9860.364758410.5345170Debt Consolidation01713303726022085114853418.7500000.8437875106000.2497600.264873411.1682840.4086780
199992072-10-032053227574EmployedAssociate03205548Married0Own2720.536411310.5534340Other036142682176683008416364435.5833330.8538015413720.2400550.2426931049.8304070.2980060